The new test for silicosis has shown promise in an early study, and is now being analysed in larger cohorts.
A new diagnostic tool developed by physicians and scientists from 麻豆社madou Sydney that analyses a person鈥檚 breath for signs of silicosis has the potential to catch the disease earlier rather than wait for irreversible lung damage to appear.
In a study published today in the by and Conjoint , the researchers describe a rapid, AI-powered breath test that could transform the way silicosis is diagnosed. The test combines mass spectrometry 鈥 a scientific technique that analyses molecules 鈥 and AI to rapidly detect silicosis from breath samples, providing a fast and non-invasive diagnostic tool for at-risk workers.
Silicosis, which is a lung disease caused by inhaling tiny crystalline particles of silicon dioxide, is a major occupational health concern in Australia, with cases now extending beyond engineered stone workers . The Australian government has responded with a ban on engineered stone, but with new cases emerging from other high-risk industries, there is an urgent need for better diagnostic tools.
Unlike traditional methods such as X-rays and CT scans that detect silicosis at later stages, the 麻豆社madou-developed test provides results in minutes.
鈥淥ur study shows that the AI-driven model accurately distinguished silicosis patients from healthy individuals based on their breath profiles, providing a reliable tool for early detection, 鈥 lead researcher Prof. Donald from 麻豆社madou鈥檚 School of Chemistry says.
鈥淭his suggests that breath testing could be a practical tool for large-scale worker screening and early intervention.鈥
By combining advanced chemical analysis techniques with AI, it means we can now detect silicosis in minutes rather than waiting for irreversible lung damage to appear on scans.
How it works
The study analysed breath samples from 31 silicosis patients and 60 healthy controls, confirming the test鈥檚 ability to differentiate between affected and unaffected individuals with high accuracy.
To be tested for silicosis using the new technology, participants breathe into a bag. The breath content then gets pushed to a mass spectrometer which detects all the different molecules present.
鈥淚n human breath, there are thousands of organic molecules that you breathe out,鈥 Prof. Donald says.
鈥淥ur instrument can make a profile of the someone鈥檚 breath, and then we feed that into an artificial intelligence algorithm that鈥檚 really good at finding patterns. In this case, it鈥檚 looking for patterns in the organic compounds that are present in the breath of people in the early stages of silicosis. And we鈥檙e getting very high accuracies, like over 90% accuracy, for just such a simple, non-invasive breath test.鈥
The entire breath sampling and analysis process takes less than five minutes per patient, making it suitable for routine screening of at-risk workers.
"By combining advanced chemical analysis techniques with AI, it means we can now detect silicosis in minutes rather than waiting for irreversible lung damage to appear on scans," Prof. Donald says.
The researchers emphasise that while the breath test shows great promise, further validation in larger cohorts is needed before it can be implemented as a routine screening tool. The instrument is a compact benchtop system, occupying less than a cubic meter, making it feasible for installation in clinical settings for point-of-care testing. While breath samples are currently collected in clinics and transported to the lab for analysis, future implementation could enable direct, on-site testing.
鈥淲e鈥檝e now installed this testing at a second site to test its effectiveness with hundreds of at-risk workers, including coal miners to further validate its effectiveness,鈥 Prof. Donald said.
Future studies will refine the technique, integrate it into screening programs for silica-exposed workers, and explore its ability to differentiate silicosis from other lung diseases.
Early detection
Prof. Yates has seen many cases of silicosis as a clinician. Silicosis is an incurable and totally preventable disease which only has one cause 鈥 the inhalation of excess respirable free silica dust. Silica dust exposure occurs in a wide variety of different jobs from tunnelling and stone benchtop work to construction and tiling.
鈥淭here are three stages of silicosis,鈥 says Prof. Yates.
鈥淚t can be difficult to diagnose such patients, especially in the early stages of disease. Sometimes a biopsy is needed, which is invasive and expensive.
鈥淪o it is crucial to detect affected workers early and remove them from further silica exposure in order to stop the progression of their disease.鈥
There is no cure for silicosis and in its worst stages, it is fatal. Lung transplantation is a rare option for silicosis but is a scarce resource and not every patient is suitable.
鈥淐urrently in NSW, workers are increasingly being diagnosed with silicosis at younger ages, reflecting excess dust exposures,鈥 Prof. Yates says.
In addition to silicosis, there are several other diseases which can arise from silica exposure including lung fibrosis, chronic obstructive pulmonary disease, lung cancer, and autoimmune diseases like rheumatoid arthritis and scleroderma.
鈥淏reath testing is a new and simple technique for patients and doctors but has been valuable in other lung diseases such as asthma. It could provide the non-invasive method needed to monitor such workers for development of silicosis. Although this research is yet in its early stages and will need further development, it provides a 鈥榖reath of hope鈥 for the future,鈥 Prof. Yates says.
This research was supported by the iCare Dust Diseases Board through a Discovery and Innovation grant.
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